Applied Science Manager, Stores-Ads Science

Seattle, WA (On-site)

$184K/yr – $249K/yrSenior LevelFull time

Posted 6 weeks ago

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Job Summary

Lead a science team to set the vision and roadmap for ads impact measurement and optimization, design causal experiments, build production-ready models and optimization algorithms, and translate findings into business strategy for senior leadership.

  • Own research direction and roadmaps that align with business outcomes.
  • Partner with engineering and product to deploy models and drive measurable impact.
  • Develop and mentor future science leaders across ambiguous problem spaces.

Job Description

Responsibilities

  • In this role, you will lead a team of scientists, setting the technical vision and science roadmap for ads impact measurement and optimization.
  • You will design experiments that identify the causal mechanisms through which advertising drives shopper engagement, advertiser value, and marketplace outcomes.
  • You will develop optimization algorithms that integrate these causal signals into production and business decision-making, in close partnership with engineering and product teams across the organization.
  • You will lead the research and communicate findings and recommendations to senior leadership through written narratives that connect technical science to business strategy.
  • You will hire and develop future science leaders, think strategically, set ambitious roadmaps in highly ambiguous problem spaces, and foster a culture that values both intellectual depth and production impact.
  • You will work cross-functionally, influencing across organizational boundaries to drive alignment on complex, multi-sided tradeoffs.

Requirements

  • 4+ years of applied research experience
  • 3+ years of scientists or machine learning engineers management experience
  • 3+ years of building machine learning models for business application experience
  • PhD, or Master's degree and 6+ years of applied research experience
  • Knowledge of ML, NLP, Information Retrieval and Analytics
  • Experience programming in Java, C++, Python or related language

Preferred

  • Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
  • Experience in causal modeling like graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science workflows

Benefits

  • Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.
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Amazon Science

Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work. Follow us on LinkedIn and visit our website to get a deep dive on innovation at Amazon, and explore the many ways you can engage with our scientific community. #AmazonScience

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